Research on Automatic Self-healing Control of Intelligent Feeder based on Multi-Agent Algorithm

The differential protection method applied to high voltage transmission network introduces fault location of intelligent distribution network, and the improved differential current method can realize fast and accurate location of intelligent distribution network. Aiming at the disadvantage that traditional feeder automation is not suitable for intelligent distribution network, an intelligent feeder automation model for intelligent distribution network based on multi-agent is constructed. An improved differential current method based on multi-agent is proposed for feeder fault location. This method can realize intelligent feeder automation and high precision and high speed fault location. The system network loss and node minimum voltage after fault recovery using Agent algorithm are the same as those of genetic algorithm, but the fault recovery time is obviously shortened. Agent can quickly operate the corresponding switch equipment remotely, and restore the load power supply in non-failure area, so that users can hardly feel the occurrence of power failure.